Cargando…
Sparsey™: event recognition via deep hierarchical sparse distributed codes
The visual cortex's hierarchical, multi-level organization is captured in many biologically inspired computational vision models, the general idea being that progressively larger scale (spatially/temporally) and more complex visual features are represented in progressively higher areas. However...
Autor principal: | Rinkus, Gerard J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266026/ https://www.ncbi.nlm.nih.gov/pubmed/25566046 http://dx.doi.org/10.3389/fncom.2014.00160 |
Ejemplares similares
-
A Cortical Sparse Distributed Coding Model Linking Mini- and Macrocolumn-Scale Functionality
por: Rinkus, Gerard J.
Publicado: (2010) -
Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks
por: Liu, Xingyu, et al.
Publicado: (2020) -
A cortical theory of super-efficient probabilistic inference based on sparse distributed representations
por: Rinkus, Rod
Publicado: (2013) -
Inference via sparse coding in a hierarchical vision model
por: Bowren, Joshua, et al.
Publicado: (2022) -
The hierarchical sparse selection model of visual crowding
por: Chaney, Wesley, et al.
Publicado: (2014)